Automatic blood vessels segmentation based on different retinal maps from OCTA scans-Reference-Cited by-同舟云学术

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Automatic blood vessels segmentation based on different retinal maps from OCTA scans

Published:2017-10 Issue: Volume:89 Page:150-161
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Eladawi Nabila,Elmogy Mohammed,Helmy Omar,Aboelfetouh Ahmed,Riad Alaa,Sandhu Harpal,Schaal Shlomit,El-Baz Ayman

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference30 articles.

1. Computerized screening of diabetic retinopathy employing blood vessel segmentation in retinal images;Franklin;Biocybern. Biomed. Eng.,2014

2. Automated characterization of blood vessels as arteries and veins in retinal images;Mirsharif;Comput. Med. Imag. Graph.,2013

3. Supervised segmentation of vasculature in retinal images using neural networks;Ding,2014

4. A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms;Frame;Comput. Biol. Med.,1998

5. Automated detection of fundus photographic red lesions in diabetic retinopathy;Larsen;Investig. Ophthalmol. Vis. Sci.,2003

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